Biscuit production from composite flours of wheat and yellow maize: A linear programming, physicochemical, and quality-based approach

Abstract

Food enrichment plays a critical role in the food industry, with a significant influence on the nutritional value of various food products and their potential health advantages when consumed. The demand for nutritious food products has led to significant advancements in the technology used for the production of biscuits, with the aim of enhancing their nutritional characteristics. Therefore, the objective of the present work was to develop nutritionally optimised biscuits using a linear programming model. The study focused on the optimisation of biscuit ingredients, specifically wheat and yellow maize flour, with or without moringa leaf. The formulation process involved the use of conventional methods and a linear programming model. The resulting biscuits were then analysed for their proximate, sensory, functional, and anti-nutritional properties. The biscuits formulated using the linear programming (LP) model exhibited superior qualities compared to other groups. These biscuits had a protein level ranging from 17.5 to 15.4%, and significantly improved organoleptic properties. The concentration of anti-nutritive compounds showed a notable decrease in the LP group compared to the conventionally prepared biscuits. Therefore, the use of a linear programming model can be adopted for the formulation of biscuits that have high nutritional value.